Natural Live Polling

Inspiration

When people participate in polls it is often not representative of the population. I wanted to alleviate this by using Natural Language Processing to create a real-time data analysis tool capable of pulling information from Twitter around a topic and using that information to make predictions about the population. Imagine a company able to get real-time feedback of a product without needing to ask for it, a company to be able to find needs in a marketplace and quickly design products to fill them, or a person getting real-time statistic about what actual people think about their elected representative; the options are endless.

What it does

The program first uses the Twitter API to access all the tweets around a given topic. It proceeds to then generate the real-time statics data regarding the "Emotional Tone" of the tweets as well as the "Social Tone".

How I built it

I access all the tweets around a given topic using the Twitter API. I then have a custom made api which cleans and parses all the data. I use IBM bluemix to run sentiment analysis on the tweets. From there I make predictions about the overall tone of the people.

Challenges I ran into

Twitter API

Cleaning the Data

Visualizing the Data

Building my own API in express

Accomplishments that I'm proud of

Did it by myself

Used Machine Learning Library

Built my own custom API

What I learned

How to interact and consume API's

IBM bluemix

Twitter API

Node.js

Express.js

What's next for Natural Live Polling

Would love to get a bigger training set from twitter as I'm only allowed to consume up to 100 tweets at a given time.